Background: The causes of hypoalbuminemia in patients with acute heart failure (HF) remain poorly defined, and the association between hypoalbuminemia and hospital and long-term mortality has been only partially evaluated. This study sought to analyze the causes of hypoalbuminemia in acute HF patients and determine its impact on hospital and long-term mortality.
Methods And Results: A total of 362 consecutive acute HF patients were assessed. The patients were divided into 2 groups according to the presence or absence of hypoalbuminemia (albumin ≤3.4 g/dL), and the independent association of each variable with hypoalbuminemia and hospital mortality was assessed with the use of multiple logistic regression. The association between hypoalbuminemia and long-term mortality was assessed with the use of Cox multivariate analysis. In total, 108 patients (29.8%) were classified as having hypoalbuminemia. Older age, higher C-reactive protein levels, and lower levels of total protein, prealbumin, transferrin, and lymphocytes were independently associated with hypoalbuminemia. Hospital mortality was 8% and was independently associated with hypoalbuminemia. A total of 333 patients were discharged. Hypoalbuminemia was an independent predictor of mortality.
Conclusions: Hypoalbuminemia in acute HF patients was associated with higher hospital mortality and served as an independent predictor of long-term mortality. Malnutrition and inflammation were factors causing hypoalbuminemia in this clinical setting.
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http://dx.doi.org/10.1016/j.cardfail.2014.01.016 | DOI Listing |
Nurs Crit Care
January 2025
Department of Critical Care Medicine, Shenzhen Nanshan People's Hospital and the 6th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China.
Background: Coronary care unit (CCU) patients surviving to discharge still face significant mortality. Delirium is common in CCU patients and has been associated with poorer CCU and in-hospital outcomes.
Aim: To assess the association between delirium and mortality after hospital discharge in CCU survivors.
JAMA Netw Open
January 2025
RAND Health, RAND, Boston, Massachusetts.
Importance: Long-term nursing home stay or death (long-term NH stay or death), defined as new long-term residence in a nursing home or death following hospital discharge, is an important patient-centered outcome.
Objective: To examine whether the COVID-19 pandemic was associated with changes in long-term NH stay or death among older adults with sepsis, and whether these changes were greater in individuals from racial and ethnic minoritized groups.
Design, Setting, And Participants: This cross-sectional study used patient-level data from the Medicare Provider Analysis and Review File, the Master Beneficiary Summary File, and the Minimum Data Set.
Eur J Epidemiol
January 2025
Université Paris-Saclay, INRAE, UMR PNCA, Palaiseau, AgroParisTech, 91120, France.
The Global Burden of Diseases (GBD) network has proposed theoretical minimum risk exposure level (TMREL) for leading risk factors associated with diet that minimize the risk of morbimortality from chronic diseases. TMREL can be applied to develop follow-up or evaluation indicators in individual studies. The validity of these scores can be tested by assessing associations with health outcomes in prospective cohorts.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
North Estonia Medical Centre, Sütiste tee 19, Tallinn, 13419, Estonia.
Purpose: Emergency laparotomy (EL) is a high-risk procedure, especially in frail patients. This study investigates the prevalence of frailty in referral facilities, evaluates the impact of frailty on postoperative morbidity and mortality, and assesses the long-term effect of EL on patients' functional status.
Methods: This prospective multicentre cohort study included patients aged 50 years and older who underwent EL.
Intensive Care Med
January 2025
Medical Intensive Care Unit, AP-HP, Saint-Louis Hospital, Paris-Cité University, INSERM UMR1342 Institut de Recherche Saint-Louis, Paris, France.
Purpose: Invasive pulmonary aspergillosis (IPA) is a life-threatening opportunistic infection in immunocompromised patients. The diagnosis is often made late, with mortality reaching 90% when mechanical ventilation is needed. We sought to develop and validate a risk prediction model for the diagnosis of IPA.
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